Data Science Intern
Medecins Sans Frontieres (Doctors Without Borders) - United States
| Company | Medecins Sans Frontieres (Doctors Without Borders) - United States |
| Category | Data & Analytics |
| Location | New York |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Intern |
| Salary | Not stated by the employer |
| Posted | 18 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About MSF USA | Doctors Without Borders
Doctors Without Borders/Médecins Sans Frontières (MSF) is an independent international organization that provides medical care to the people who need it most. The organization cares for people affected by conflict, disease outbreaks, disasters, and social exclusion in more than 70 countries. MSF offers medical humanitarian assistance solely based on need, regardless of race, ethnicity, religion, or politics. Our international project teams include medical, logistical, and administrative staff, most of them hired locally and working with their own communities. Our actions are guided by medical ethics and the principles of independence, impartiality, and neutrality. We also bear witness and speak out about the experiences of our colleagues and patients.
MSF USA is one of 24 sections supporting the global movement, primarily through staff recruitment, fundraising, advocacy, and communications. We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s social mission. ROLE OVERVIEW As a Data Science Intern with MSF-USA’s Workforce Intelligence & Strategy Unit, you’ll play an active role in transforming complex workforce data into clear, actionable insights that support evidence-based decision-making across the organization. You’ll work closely with analysts and data scientists to strengthen our reporting and visualization capabilities in Power BI, helping us better understand and plan for our workforce needs.
DEPARTMENT ACCOUNTABILITIES Organizational Culture & Create a Safe Space Set and drive transparent goals, targets and ADEI&B initiatives that yield the most significant, scalable, quantifiable, and sustained impact for a more human-centered, engaged, and productive workplace.; building a culture that fosters trust, collaboration high performance, respect, and belonging among diverse teams and peoples. Performance Management & Talent Development- Develop and implement policies and processes that provide an integrated, structured approach to individual development planning, performance goal setting, performance feedback, and formal appraisal to meet business needs and to support individuals in realizing their potential. The review is done one time per year after which decisions are taken on whether the employee's pay should be changed or increased. Employee Engagement Create a workplace culture that is engaging and motivating for employees. This involves creating opportunities for employees to connect with each other, providing professional development opportunities, and creating a positive work environment. Compliance and HR Operations Execute and manage P&C operations using predetermined protocols and procedures to achieve specified operational performance standards. Compensation & Benefits Review Designed and administered compensation and benefits packages for staff. This includes setting salaries, providing health insurance and other benefits and managing payroll.. Talent Acquisitions Fill permanent or temporary positions within an organization by attracting, shortlisting, selecting, hiring, appointing, and integrating the best-qualified candidates in a timely and cost-effective manner. Payroll Administration Carry out the payroll administration processes required to ensure that employees are paid correctly at the right time.
ROLES SPECIFIC OUTCOMES
By the end of the internship, the Data Science Intern will have:
Designed and delivered at least one interactive Power BI dashboard that visualizes key workforce metrics and trends.
Improved data reliability and consistency by identifying and resolving data quality issues across multiple sources (e.g., HRIS, recruitment, and survey da
You found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →